Campus-Advanced Beginner

Job Summary

The graduate AI Engineer is responsible for developing innovative technical solutions, integrating generative AI technologies. This graduate role requires a basic understanding of modern technical and cloud-native practices, AI, and DevOps. You will support a wide range of customers through the “Ideation to MVP” journey, demonstrating eagerness to learn and contribute to a dynamic and innovative team.

Key Responsibilities

• Key Responsibilities Technical & Engineering Leadership • Develop solutions leveraging GenAI technologies, integrating AI capabilities into cloud-native architectures.
• Assist in the design and implementation of GenAI-driven applications, ensuring integration with microservices and container-based environments.
• Create solutions that leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds.
• Collaborate on technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery • Support the engineering of GenAI solutions from ideation to MVP, ensuring performance and reliability within cloud-native frameworks.
• Assist in optimizing AI models for deployment in cloud environments, balancing efficiency and effectiveness to meet client requirements and industry standards.
• Contribute to the assessment of existing solutions and recommend technical treatments to transform applications with cloud-native/12-factor characteristics. 1 Innovation & Initiative • Support the adoption of GenAI technologies within cloud-native projects, enhancing AI integration in cloud services.
• Engage in technical innovation and support HCL’s position as an industry leader.
• Contribute to authoring whitepapers, blogs, and speaking at industry events.
• Maintain hands-on technical credibility, stay ahead of industry trends, and contribute to team learning.

Skill Requirements

• Client Relationships • Assist in providing guidance to clients on incorporating GenAI and machine learning into their cloud native systems, ensuring best practices and strategic alignment with business goals.
• Participate in workshops and briefings to educate clients on the benefits and applications of GenAI, establishing strong, trust-based relationships.
• Contribute to technical projects (Po Cs and MVPs) with a focus on technical excellence and on-time delivery. Mandatory Skills & Experience • A newly graduated developer with experience in Java or Python.
• Basic understanding of software development and exposure to AI/ML technologies.
• Knowledge of GenAI frameworks: Familiarity with using GenAI frameworks and libraries such as OpenAI API.
• Understanding of prompt engineering: Basic experience in designing and optimizing prompts for AI models to achieve desired outputs.
• Strong verbal and written communication skills (English).
• Positive and solution-oriented mindset.
• Willingness to learn and grow within an Agile and Scrum project management environment.

Other Requirements

• Desired Skills & Experience • Basic understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models.
• Interest in data engineering for AI: Eagerness to learn about data preprocessing, feature engineering, and creating pipelines to feed AI models with high-quality data.
• Familiarity with AI ethics and bias mitigation: Knowledgeable about ethical considerations in AI and eager to implement strategies to mitigate bias.
• Basic understanding of cloud-native technologies and DevOps practices. 2 • Willingness to pursue cloud and technical certifications, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat.